On the comparision of various wind-turbine load control systems for maximum power tracking using PLC - SCADA

Zaid Samer Al Shattle, Senthil Arumugam Muthukumaraswamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Wind power is the third ranked source of renewable energy. However, one of the biggest issues of Wind-turbines is adapting to the unstable wind conditions. Several maximum power point tracking (MPPT) application systems are discussed and compared in this paper. One of the methods discussed in this paper was implemented with an adaptive switching system to track the maximum power. This system can be designed with either using a micro-controller or Programmable Logic Controller (PLC) and both approaches were instigated and compared. The second method described in this paper uses relays to control the connected load. Then a new method is proposed in this paper which uses a benchmark motor to measure the wind speed and configure the load accordingly. All the three methods were implemented using supervisory control and data acquisition (SCADA) with PLC. Finally, the proposed method is compared with the two existing systems of variable speed controller wind turbines for it's viability for the long run in future.

Original languageEnglish
Title of host publication2017 International Conference on Intelligent Sustainable Systems (ICISS)
PublisherIEEE
Pages968-971
Number of pages4
ISBN (Electronic)9781538619599
DOIs
Publication statusPublished - 21 Jun 2018

Keywords

  • Load switching
  • MPPT
  • PLC
  • SCADA
  • Wind power

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Information Systems and Management
  • Modelling and Simulation
  • Artificial Intelligence

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  • Cite this

    Shattle, Z. S. A., & Muthukumaraswamy, S. A. (2018). On the comparision of various wind-turbine load control systems for maximum power tracking using PLC - SCADA. In 2017 International Conference on Intelligent Sustainable Systems (ICISS) (pp. 968-971). IEEE. https://doi.org/10.1109/ISS1.2017.8389322